We unbox developments in artificial intelligence (AI) to estimate how exposure to these developments affect firm-level labour demand, using detailed register data from Denmark, Portugal and Sweden over two decades. Based on data on AI capabilities and occupational work content, we develop and...

This study explores how Q-proximity and A-proximity affect the student's learning excitement and performance, and how they differ in these effects. Using the Construal Level Theory (CLT), a questionnaire was designed with multiple models (in which the student owns the Q, A, both or neither). The...

This study presents a novel classification framework for digital and cognitive AI hazards (Shalaby's Classification for Digital Hazards), aiming to comprehensively categorize risks across pathophysiological impacts, technical sources, content-related risks, algorithmic influences, modification...

Based on mergers and acquisitions data from Chinese firms listed on the Shanghai and Shenzhen stock exchanges spanning 2011 to 2021, we construct a dataset with 14 feature variables, covering deal characteristics, firm financial and non-financial traits, as well as external environmental...

Statistical-based predictions with extreme value theory improve the performance of the risk model not by choosing the model structure that is expected to predict the best but by developing a model whose results are a combination of models with different shapes. Using different ensemble...

The transformative impact of AI technologies on the financial sector has been a topic of increasing interest. This study investigates ChatGPT's applications in financial reasoning and analysis and evaluates ChatGPT-4o's effectiveness and limitations in conducting both basic and complex financial...